Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (1): 37-56.doi: 10.21629/JSEE.2019.01.05

• Electronics Technology • Previous Articles     Next Articles

Battlefield dynamic scanning and staring imaging system based on fast steering mirror

Tianqing CHANG1(), Quandong WANG1,2,*(), Lei ZHANG1(), Na HAO3(), Wenjun DAI1()   

  1. 1 Department of Weapon and Control, Army Academy of Armored Forces, Beijing 100072, China
    2 Center for Assessment and Demonstration Research, Academy of Military Sciences, Beijing 100091, China
    3 Department of Science Research, Army Academy of Armored Forces, Beijing 100072, China
  • Received:2017-11-22 Online:2019-02-27 Published:2019-02-27
  • Contact: Quandong WANG E-mail:diegorevilo@163.com;08291025@bjtu.edu.cn;13611377718@163.com;chan1214@126.com;daiwenjun1993@163.com
  • About author:CHANG Tianqing was born in 1963. He received his Ph.D. degree in concurrent engineering from Tsinghua University in 1999. Since 2000, he has been a professor in Academy of Armored Force Engineering. His current research interests include target detection and recognition, as well as navigational guiding and controlling. E-mail:diegorevilo@163.com|WANG Quandong was born in 1989. He received his B. S. and M. S. degrees in electrical engineering from Beijing Jiaotong University in 2012 and 2015, respectively. He is a Ph.D. candidate in School of Academy of Armored Force Engineering. His current research interests include target detection and recognition, as well as navigational guiding and controlling. E-mail:08291025@bjtu.edu.cn|ZHANG Lei was born in 1975. He received his Ph.D. degree in electrical engineering and automation from Academy of Armored Force Engineering in 2010. Since 2013, he has been an assistant professor in Academy of Armored Force Engineering. His current research interest is target detection and recognition. E-mail:13611377718@163.com|HAO Na was born in 1982. She received her Ph.D. degree in electrical engineering and automation from the Academy of Armored Force Engineering in 2016. In 2002, she became a lecturer in Academy of Armored Force Engineering. Her current research interest is target detection and recognition. E-mail:oliver chan1214@126.com|DAI Wenjun was born in 1992. He received his B.S. and M.S. degrees in electrical engineering from Academy of Armored Force Engineering in 2012 and 2015, respectively. He is a Ph.D. candidate in School of Academy of Armored Force Engineering. His current research interest is intelligent technology of fire control system. E-mail:daiwenjun1993@163.com
  • Supported by:
    the National Defense Pre-research Project of China during the 12th Five-year Plan Period(4040570201);Innovation Project of Military Academy(ZYX14060014);This work was supported by the National Defense Pre-research Project of China during the 12th Five-year Plan Period (4040570201) and Innovation Project of Military Academy (ZYX14060014)

Abstract:

This paper presents the design of an experimental battlefield dynamic scanning and staring imaging system based on a fast steering mirror (FSM), which is capable of real-time monitoring of hot targets and wide-area reconnaissance of hot regions. First, the working principle and working sequence of the FSM are briefly analyzed. The mathematical model of the FSM system is built by modeling its dynamic and electrical properties, and the rationality of the model is validated by means of model identification. Second, the influence of external sources of disturbance such as the carrier and moment on the control precision of the FSM is effectively suppressed by the jointly controlling of proportional integral (PI) and disturbance observer (DOB), thus realizing a high precision and strong robustness control of the FSM system. Then, this paper designs an experimental prototype and introduces a special optical structure to enable the infrared camera to share the FSM with the visible light camera. Finally, the influence of the velocity difference between the mirror of the FSM and the rotating platform on the imaging quality of the system is experimentally analyzed by using the image sharpness evaluation method based on point sharpness. A good dynamic scanning and staring imaging result is achieved when the velocity of these two components correspond.

Key words: fast steering mirror (FSM), dynamic scanning and staring, backscanning compensation, disturbance observer (DOB), point sharpness